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Simple PyTorch Tutorials Zero to ALL!
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data Added name_classify Nov 3, 2017
slides Updated slides Nov 12, 2017
.gitignore
.travis.yml Added travis Nov 11, 2017
01_basics.ipynb Colaboratory를 통해 생성됨 May 3, 2019
01_basics.py Updated PDFs Oct 11, 2017
02_manual_gradient.ipynb
02_manual_gradient.py
03_auto_gradient.ipynb Colaboratory를 통해 생성됨 May 3, 2019
03_auto_gradient.py Updated PDFs Oct 11, 2017
05_linear_regression.ipynb Colaboratory를 통해 생성됨 May 3, 2019
05_linear_regression.py fixed py too May 3, 2019
06_logistic_regression.ipynb
06_logistic_regression.py updated May 3, 2019
07_diabets_logistic.ipynb Colaboratory를 통해 생성됨 May 3, 2019
07_diabets_logistic.py fixed error May 3, 2019
08_1_dataset_loader.py Added name_classify Nov 3, 2017
08_2_dataset_loade_logistic.py
09_01_softmax_loss.py
09_2_softmax_mnist.py
10_1_cnn_mnist.py
11_1_toy_inception_mnist.py Added char rnn and seq2seq Oct 31, 2017
12_1_rnn_basics.py
12_2_hello_rnn.py Fixed rnn hidden shape bugs Mar 24, 2018
12_3_hello_rnn_seq.py Fixed rnn hidden shape bugs Mar 24, 2018
12_4_hello_rnn_emb.py Fixed rnn hidden shape bugs Mar 24, 2018
13_1_rnn_classification_basics.py
13_2_rnn_classification.py
13_3_char_rnn.py Updated slides Nov 12, 2017
13_4_pack_pad.py Updated slides Nov 12, 2017
14_1_seq2seq.py
14_2_seq2seq_att.py
README.md
name_dataset.py Added fixed code Nov 3, 2017
requirements.txt
seq2seq_models.py Simplified RNN/Att Nov 8, 2017
text_loader.py

README.md

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PyTorchZeroToAll

Quick 3~4 day lecture materials for HKUST students.

Video Lectures: (RNN TBA)

Slides

If you cannot access the GoogleDoc for somehow, please check out pdf files in slides. However, slides in GoogleDrive are always latest. We really appreciate your comments.

Previous Lectures

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